class_docstr: Selects instances by constructing a lightweight coreset [BLK18]_ over document embeddings.
      
class_docstr_tok: ["Selects","instances","by","constructing","a","lightweight","coreset","[","BLK18","]","_","over","document","embeddings","."]
code: def __str__(self):
      return f"LightweightCoreset(normalize={self.normalize})"
  
file_path: small-text/small_text/query_strategies/coresets.py
imports: import warnings
  import numpy
  from sklearn.metrics import pairwise_distances
  from small_text.query_strategies.strategies import EmbeddingBasedQueryStrategy
label_desc: Use image node_id 3 for calling the LightweightCoreset obj's underlying member method code with example usage: obj.__str__() and returns: str, self, str